``diplomat sleap analyze_videos``
---------------------------------

    .. rubric:: Summary

    Run DIPLOMAT tracking on a set of videos or a single video using a SLEAP
    model, generating results in ".slp" files.

    .. rubric:: Usage

    .. code-block:: text

        diplomat sleap analyze_videos [-h] --config
                                             [FILE, ...]|FILE --videos [FILE, ...]|FILE [--batch_size INT]
                                             [--num_outputs INT] [--predictor STR]
                                             [--predictor_settings {STR: VAL, ...}]
                                             [--gpu_index INT] [--output_suffix STR]
                                             [--refinement_kernel_size INT]
                                             [--use_cpu FLAG] [--pcutoff FLOAT]
                                             [--dotsize INT] [--alphavalue FLOAT]
                                             [--colormap TO_COLORMAP]
                                             [--shape_list [STR, ...]]
                                             [--line_thickness INT]
                                             [--skeleton [[STR, STR], ...]|{STR: [STR, ...], ...}|[STR, ...]|NONE|BOOL]



    .. rubric:: Options

    .. code-block:: text

         
           -h, --help            show this help message and exit
           --config [FILE, ...]|FILE, -c [FILE, ...]|FILE
                                 The path (or list of paths) to the sleap model(s) used
                                 for inference, each as either as a folder or zip file.
           --videos [FILE, ...]|FILE, -v [FILE, ...]|FILE
                                 A path or list of paths to video files to run DIPLOMAT
                                 on using the passed SLEAP model.
           --batch_size INT, -bs INT
                                 An integer, the number of images to pass to the model
                                 per batch.
           --num_outputs INT, -no INT
                                 An integer, the number of individuals in the video
                                 defaults to 1.
           --predictor STR, -p STR
                                 A string, the name of the predictor to use to perform
                                 the task of tracking.
           --predictor_settings {STR: VAL, ...}, -ps {STR: VAL, ...}
                                 A dictionary of strings to any values, the settings to
                                 use for the predictor. Each predictor offers different
                                 settings, see
           --gpu_index INT, -gi INT
                                 An integer, the index of the GPU to use. If not set
                                 DIPLOMAT allows SLEAP to automatically select a GPU.
           --output_suffix STR, -os STR
                                 A string, the suffix to append onto the output .slp
                                 file. Defaults to an empty string.
           --refinement_kernel_size INT, -rks INT
                                 An integer, the kernel size to use for creating offset
                                 maps if they don't exist (via integral refinement).
                                 defaults to False, if set to 0 or a negative integer
                                 disables integral refinement.
           --use_cpu FLAG, -uc FLAG
                                 A boolean, if True force SLEAP to use the CPU to run
                                 the model. Defaults to False.
           --pcutoff FLOAT       The probability to cutoff results below.
           --dotsize INT         The size of the dots.
           --alphavalue FLOAT    The alpha value of the dots.
           --colormap TO_COLORMAP
                                 The colormap to use for tracked points in the video.
                                 Can be a matplotlib colormap or a list of matplotlib
                                 colors.
           --shape_list [STR, ...]
                                 A list of shape names, shapes to use for drawing each
                                 individual's dots.
           --line_thickness INT  Thickness of lines drawn.
           --skeleton [[STR, STR], ...]|{STR: [STR, ...], ...}|[STR, ...]|NONE|BOOL
                                 The skeleton to use for this this run of DIPLOMAT.
                                 Defaults to None, which uses the skeleton associated
                                 with the sleap project. Can be a list of strings, a
                                 list of tuples of strings, a dictionary of strings to
                                 strings or lists of strings, or True/False (True
                                 connects all parts, False connects no parts, disabling
                                 the skeleton).